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This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

A series of top performing Text to SQL LLMs

python partial dependence plot toolbox

Collection of algorithms for online portfolio selection

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

Deep Learning for Coders, 2020, the website

Code for "High-Precision Model-Agnostic Explanations" paper

Python for Finance Cookbook, published by Packt

Building DeepSeek R1 from Scratch

Data Hacking Project

TensorFlow implementation of an arbitrary order Factorization Machine

Use evolutionary algorithms instead of gridsearch in scikit-learn

A python library for time-series smoothing and outlier detection in a vectorized way.

DX Analytics | Financial and Derivatives Analytics with Python

Evaluate the accuracy of LLM generated outputs

Easy pipelines for pandas DataFrames.

Machine Learning toolbox for Humans

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

SABR model Python implementation

Top training materials in quantitative finance

Portfolio and risk analytics in Python

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

A library of metrics for evaluating recommender systems